GTM Systems Analyst (Salesforce)

Location: Irvine, California, United States; Workplace: Hybrid

Company

hirify.global develops risk-aware, field-ready embodied AI systems for real robots, sensors, and deployments.

What you will do

• Administer, configure, and govern Salesforce, including objects, fields, layouts, validation rules, flows, reports, and user access.
• Integrate ZoomInfo, Clay, and Gong with Salesforce and connect trusted CRM data to AWS and Snowflake for reporting and analytics.
• Build Claude-powered automations for GTM data cleaning, enrichment, manual task reduction, and faster reporting.
• Own external implementation partners, including requirements, scope, delivery review, and technical quality.
• Design lead routing, ownership rules, SLA enforcement, and MQL-to-SQL-to-SAL handoff workflows.
• Develop pipeline, ARR, activity, funnel conversion, opportunity scoring, and leadership dashboards while maintaining data hygiene and documentation.

Requirements

• 2–5 years of experience in RevOps, Sales Operations, Marketing Operations, or CRM administration at a B2B company.
• Hands-on Salesforce administration experience, including building fields, flows, validation rules, and reports.
• Advanced spreadsheet skills and strong data-quality instincts.
• Experience integrating a GTM enrichment or intelligence tool with a CRM.
• Clear communication skills and the ability to translate business needs into documented system requirements.
• Salesforce Administrator certification.

Nice to have

• Experience with complex enterprise sales cycles, pilots, proofs of concept, land-and-expand models, or hardware and services revenue.
• Familiarity with Snowflake, SQL, AWS, and AI tools such as Claude.
• Experience managing implementation partners or systems integrators.
• Experience building processes in an early-stage, high-growth startup.

Culture & Benefits

• Work on embodied AI systems deployed and tested on real robotics hardware.
• Build the GTM systems foundation for significant headcount growth rather than inheriting a mature stack.
• Collaborate with internal data teams and external implementation partners.